维普中文期刊产品整合服务

A preference-based multi-objective building performance optimization method for early design stage

查看全文 作　　者：Borong [1]Lin;Hongzhong [1]Chen;Yanchen [2]Liu;Qiushi [1]He;Ziwei [3]Li 高影响力作者 机构地区：[1]Department of Building Science,Tsinghua University,Beijing 100084,China;[2]College of Civil Engineering,Guangzhou University,Guangzhou 510006,China;[3]College of Architecture&Urban Planning,Beijing University of Technology,Beijing 100124,China高影响力机构 出　　处：《Building Simulation》索引2021年第14卷第3期,共18页高影响力期刊 基　　金：supported by the National Science Foundation for Distinguished Young Scholars of China(No.51825802);the China Postdoctoral Science Foundation Grant(No.2019M650408). 摘　　要：A large number of cases show that the multi-objective optimization method can significantly improve building performance.The method for multi-objective building performance optimization(BPO)design has achieved rapid development in recent years.However,the BPO method still needs to be improved.Specifically,weak interaction between the optimization process and the decision-making process results in low optimization efficiency,which limits the widespread application of the optimization method in early design stage.In this paper,a new interactive BPO mode is explored to strengthen the interaction between the optimization process and decisionmaking process,and a preference-based multi-objective BPO method is proposed to account for designers'decision preferences during the optimization process,making the objective more controllable,improving the optimization efficiency and ensuring the diversity of solutions.Firstly,this paper illustrates the proposed method in detail,defines the concept of performance preference,expounds the flow of the preference-based multi-objective optimization algorithm,and proposes three indicators to evaluate the algorithm,which includes convergence speed,preference satisfaction rate,and diversity measurement.Secondly,through testing and comparison,it is found that the proposed preference-based algorithm has advantages over the non-preference optimization algorithm(represented by the NSGA-II algorithm).The proposed method leads to faster convergence and higher preference satisfaction,so it is more suitable for the BPO process in the early design stage.Specially,the proposed method can achieve 100%preference satisfaction rate with only 2400 simulations,while the non-preference method can only achieve 20%preference satisfaction rate after 5800 simulations.In this paper,a preference-based multi-objective BPO method is proposed to make the optimization process closely interact with the decision-making process and make the design preferences be accounted during the BPO process,thereby improving the optimization efficiency.In addition,this study first proposes two indicators to measure the quality of optimization results:preference satisfaction rate and diversity measurement.This study aims to guide the development of BPO methods towards providing high satisfaction rate and high quality optimization results. 关 键 词：building performance optimization(BPO) preference oriented design Pareto-front early design stage
相关文献

参考文献(30)

引证文献(5)

耦合文献(23)

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费